必要预备知识 (Prerequisite Knowledge)

基本理解对话系统和机器学习。

A basic understanding of dialog systems and machine learning

您将学到什么 (What you'll learn)

理解构建鲁棒的自然语言理解系统的原则，如何平衡技术和工程需求，如何设计数据模式，以及如何收集和标注数据。

Understand principles for building robust natural language understanding systems, how to balance technologies and engineering requirements, how to design data schema, and how to collect and annotate data

描述 (Description)

本讲话将用英语授课，同时会提供中文同声传译。中文版本摘要会在英文摘要下面给出。

Natural language understanding is a core technology for building natural interfaces such as AI speakers, chatbots, and smartphones. Sangkeun Jung offers an overview of a spoken dialog system and recently launched AI speaker, NUGU, and shares the technical and engineering lessons learned building a commercially efficient and sustainable natural language understanding system. The platform supports AI speakers, mobile navigation systems, and mobile secretary apps and handles large-scale traffic each day.

Sangkeun Jung

SK Telecom

Sangkeun Jung is a researcher at SK Telecom, where he focuses on natural language interfaces. He is the main developer for the NUGU AI speaker. Sangkeun has 13 years of experience in AI research and engineering. He holds a PhD in computer science and engineering.